What question did this study set out to answer?

To develop a methodology that predicts listener emotions based on selected music using artificial intelligence.

March 10, 2026Multimedia SystemsOpen Access

The sound of emotions: an artificial intelligence approach to predicting emotions from musical selections

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Authors

RHRon S. HirschprungAriel University OLOri LeshmanReichman University CHChen HajajRabin Medical Center

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Implication

Research demonstrates effective emotion prediction from music selections using AI, indicating practical uses in therapy and awareness of privacy issues.

Key Points

To develop a methodology that predicts listener emotions based on selected music using artificial intelligence.
Utilized a two-layer AI approach for predicting emotions from music.
Analyzed a dataset of 9,090 songs from approximately 4,447 individuals.
Minimized subjectivity by relying on qualitative and quantitative data without demographic factors.
Achieved 57% accuracy in predicting the primary emotion from music.
Reached 75.1% accuracy in predicting one of the two leading emotions (primary or secondary).

Cite This Study

Hirschprung et al. (2026) studied this question.

synapsesocial.com/papers/69af956970916d39fea4cf05 https://doi.org/10.1007/s00530-026-02220-1

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Implication

Research demonstrates effective emotion prediction from music selections using AI, indicating practical uses in therapy and awareness of privacy issues.

The sound of emotions: an artificial intelligence approach to predicting emotions from musical selections

Discussion

Member takes

Implication

Key Points

Cite This Study

The sound of emotions: an artificial intelligence approach to predicting emotions from musical selections

Discussion

Member takes

Implication

Key Points

Cite This Study

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